Signal Contrastive Enhanced Graph Collaborative Filtering for Recommendation

Signal Contrastive Enhanced Graph Collaborative Filtering for Recommendation

Abstract Graph collaborative filtering methods have shown great performance improvements compared with deep neural network-based models. However, these methods suffer from data sparsity and data noise problems. To address these issues, we propose a new contrastive learning-based graph collaborative...

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Bibliographic Details
Main Authors: Zhi-Yuan Li, Man-Sheng Chen, Yuefang Gao, Chang-Dong Wang
Format: Article
Language:English
Published: SpringerOpen 2023-06-01
Series:Data Science and Engineering
Subjects:
Recommendation
Collaborative filtering
Contrastive learning
Graph signals
Hypergraph learning
Online Access:https://doi.org/10.1007/s41019-023-00215-w

Internet

https://doi.org/10.1007/s41019-023-00215-w

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